Gestational age dating using newborn metabolic screening

A validation study in Busia, Uganda

Bibliographic Data

ID19550752
AuthorsScott P Oltman (0000-0002-6560-3334, University of California, San Francisco, corresponding author), Elizabeth A Jasper (0000-0003-2444-0951, University of Iowa), Richard Kajubi (0000-0002-9179-9182, Infectious Diseases Research Collaboration), Teddy Ochieng (Infectious Diseases Research Collaboration), Abel Kakuru (0000-0001-9941-1309, Infectious Diseases Research Collaboration), Harriet Adrama (Infectious Diseases Research Collaboration), Martin Okitwi (0000-0003-2712-2174, Infectious Diseases Research Collaboration), Peter Olwoch (0000-0002-7396-3348, Infectious Diseases Research Collaboration), Moses R Kamya (0000-0001-9106-4234, Makerere University), Moses Kamya (Infectious Diseases Research Collaboration, Kampala, Uganda), Bruce Bedell (University of Iowa), Molly Mccarthy (0000-0002-5449-7724, University of California, San Francisco), John Dagle, John M Dagle (0000-0002-8238-6159, University of Iowa), Prasanna Jagannathan (0000-0001-6305-758X, Stanford Medicine), Tamara D Clark (0000-0003-1109-6039, University of California, San Francisco), Grant Dorsey (0000-0003-0740-0317, University of California, San Francisco), Larry Rand (University of California, San Francisco), Theodore Ruel (0000-0002-1105-9126, University of California, San Francisco), Elizabeth E Rogers (0000-0001-5449-9693, University of California, San Francisco), Kelli K Ryckman (0000-0002-9496-4147, University of Iowa), Laura L Jelliffe‐Pawlowski (0000-0001-6258-648X, University of California, San Francisco), Laura L Jelliffe-Pawlowski
Year2021
Volume11
Pages04012-04012
Publication date2021-02-11
Open AccessYes
TypeARTICLE
VenueJournal of Global Health (JOURNAL)
Journal identifiersISSN: 2047-2978 • E-ISSN: 2047-2986
PublisherInternational Global Health Society (PUBLISHER)
DOI10.7189/jogh.11.04012
PMID33692896
OpenAlexW3132555411
LanguageEN
Citations received1
References cited25

Background Limited ultrasound capacity in low-resource settings makes correct gestational age (GA) dating difficult. Previous work demonstrated that newborn metabolic profiles can accurately determine gestational age, but this relationship has not been evaluated in low-income countries. The objective of this study was to validate and adapt a metabolic GA dating model developed using newborn blood spots for use in a low-resource setting in rural Uganda

Biology · Gestational age · Obstetrics · Pregnancy · Birth, Development, and Health · Child Nutrition and Water Access · Medicine · Pregnancy and preeclampsia studies · Genetics

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